[HTML][HTML] A hitchhiker's guide to single-cell transcriptomics and data analysis pipelines

R Nayak, Y Hasija - Genomics, 2021 - Elsevier
Single-cell transcriptomics (SCT) is a tour de force in the era of big omics data that has led to
the accumulation of massive cellular transcription data at an astounding resolution of single …

Quantitative single-cell transcriptomics

C Ziegenhain, B Vieth, S Parekh… - Briefings in …, 2018 - academic.oup.com
Single-cell RNA sequencing (scRNA-seq) is currently transforming our understanding of
biology, as it is a powerful tool to resolve cellular heterogeneity and molecular networks …

Single-cell transcriptomics bioinformatics and computational challenges

OB Poirion, X Zhu, T Ching, L Garmire - Frontiers in genetics, 2016 - frontiersin.org
The emerging single-cell RNA-Seq (scRNA-Seq) technology holds the promise to
revolutionize our understanding of diseases and associated biological processes at an …

Single‐cell sequencing methodologies: from transcriptome to multi‐dimensional measurement

Y Chen, J Song, Q Ruan, X Zeng, L Wu, L Cai… - Small …, 2021 - Wiley Online Library
Cells are the basic building blocks of biological systems, with inherent unique molecular
features and development trajectories. The study of single cells facilitates in‐depth …

Single-cell RNA sequencing analysis: a step-by-step overview

S Slovin, A Carissimo, F Panariello, A Grimaldi… - RNA bioinformatics, 2021 - Springer
Thanks to innovative sample-preparation and sequencing technologies, gene expression in
individual cells can now be measured for thousands of cells in a single experiment. Since its …

Experimental considerations for single-cell RNA sequencing approaches

QH Nguyen, N Pervolarakis, K Nee… - Frontiers in cell and …, 2018 - frontiersin.org
Single-cell transcriptomic technologies have emerged as powerful tools to explore cellular
heterogeneity at the resolution of individual cells. Previous scientific knowledge in cell …

From multitude to singularity: An up-to-date overview of scRNA-seq data generation and analysis

G Carangelo, A Magi, R Semeraro - Frontiers in Genetics, 2022 - frontiersin.org
Single cell RNA sequencing (scRNA-seq) is today a common and powerful technology in
biomedical research settings, allowing to profile the whole transcriptome of a very large …

A review of single-cell RNA-Seq annotation, integration, and cell–cell communication

C Cheng, W Chen, H Jin, X Chen - Cells, 2023 - mdpi.com
Single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool for investigating
cellular biology at an unprecedented resolution, enabling the characterization of cellular …

Identifying cell types to interpret scRNA-seq data: how, why and more possibilities

Z Wang, H Ding, Q Zou - Briefings in functional genomics, 2020 - academic.oup.com
Single-cell RNA sequencing (scRNA-seq) has generated numerous data and renewed our
understanding of biological phenomena at the cellular scale. Identification of cell types has …

scRNASeqDB: a database for RNA-Seq based gene expression profiles in human single cells

Y Cao, J Zhu, P Jia, Z Zhao - Genes, 2017 - mdpi.com
Single-cell RNA sequencing (scRNA-Seq) is rapidly becoming a powerful tool for high-
throughput transcriptomic analysis of cell states and dynamics at the single cell level. Both …